update_regressors {stochvol} | R Documentation |
Single MCMC update of Bayesian linear regression
Description
Samples the coefficients of a linear regression. The prior distribution is multivariate normal and it is specified in prior_spec.
Usage
update_regressors(dependent_variable, independent_variables, beta, prior_spec)
Arguments
dependent_variable |
the left hand side |
independent_variables |
the matrix of the independent variables. Has to be of same height as the length of the dependent variable |
beta |
the vector of the latent states used in MDA. Updated in place |
prior_spec |
prior specification object. See type_definitions.h |
See Also
Other stochvol_cpp:
update_fast_sv()
,
update_general_sv()
,
update_t_error()
[Package stochvol version 3.2.4 Index]